Natural Language Processing - Deep Learning Models in Python
Master NLP with cutting-edge deep learning techniques using Python.
Created by Lazy Programmer
Dive into Natural Language Processing with deep learning techniques using Python. Build a solid foundation in neural networks and apply them to real-world text data. Gain hands-on experience with TensorFlow as you work through practical NLP tasks like text classification and named entity recognition.
Packt | Jun 2024 | 389 min
What You Will Learn
You will start by exploring the basics of neural networks and gradually move into more advanced deep learning models. Through hands-on coding exercises and real-world examples in TensorFlow, you will practice building, training, and optimizing models for various NLP tasks. Each topic builds on the last to help you gain confidence and practical skills.
Key Features
- Build and train neural networks for NLP tasks using TensorFlow and Python
- Apply embeddings and advanced models like CNNs and RNNs to process text data
- Master practical NLP applications including text classification and entity recognition
Target Audience
Ideal for data scientists, machine learning engineers, and AI enthusiasts who already know Python and have some machine learning experience. If you want to deepen your understanding of NLP and apply deep learning models to real text data, this course will help you achieve those goals.
